Climate–Soil–Management Interactions Regulate Soil Organic Carbon in West African Agricultural Soils

IF 4.3 2区 农林科学 Q2 SOIL SCIENCE
Samuel Ayodele Mesele, E. Jeroen Huising, Abosede B. Babatunde, Poulouma Louis Yameogo, Olufunmilayo T. Ande, Edward Yeboah, Codjo Emile Agbangba, Gbénonchi Mawussi, Addam Kiari Saidou, James O. Jayeoba, Aliou Faye, Mohamed M. Vall, Jibrin M. Jibrin
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Abstract

Soil organic carbon (SOC) regulation in West African agricultural soils remains poorly constrained because climatic, mineralogical, nutrient and management controls are often evaluated separately. This study assessed the integrated controls of SOC using 749 harmonised observations of 0–20 cm soils from agricultural lands across eight West African countries. Climatic predictors included mean annual precipitation (MAP) and mean annual temperature (MAT), while edaphic variables included clay, Fe and Al oxides, cation exchange capacity (CEC), pH and total nitrogen (N). Management indicators comprised crop residue retention, manure application, fertiliser use and erosion status. Hierarchical regression, interaction modelling, variance partitioning and XGBoost with SHAP interpretation were used to evaluate additive, conditional and nonlinear controls. The final interaction model explained 75.9% of SOC variability, outperforming climate-only, edaphic + N and management-only models. MAP was the dominant climatic predictor, whereas MAT had no independent main effect. Fe oxides, Al oxides, CEC and N were positively associated with SOC, indicating the importance of mineral stabilisation and carbon–nitrogen coupling. Significant interactions among MAP × Fe oxides, MAT × pH, MAP × crop residue and MAP × erosion indicated that SOC responses depended on soil and management conditions. XGBoost confirmed strong SOC–N coupling, while a sensitivity model excluding N retained strong predictive performance (R2 = 0.78) and identified MAP, Al oxides, Fe oxides, pH and CEC as major predictors. Variance partitioning showed that climatic, edaphic and management domains contributed both unique and shared explanatory fractions. Overall, SOC variability in West African agricultural soils is best explained by interacting processes of moisture-driven carbon input, mineral stabilisation, nutrient coupling and management context.

气候-土壤-管理相互作用调节西非农业土壤的土壤有机碳
西非农业土壤的土壤有机碳(SOC)调控仍然缺乏约束,因为气候、矿物学、养分和管理控制往往是分开评估的。本研究利用来自8个西非国家的农业用地0-20 cm土壤的749个统一观测数据,评估了有机碳的综合控制。气候预测因子包括年平均降水量(MAP)和年平均气温(MAT),土壤变量包括粘土、Fe和Al氧化物、阳离子交换容量(CEC)、pH和总氮(N)。管理指标包括作物残茬保留、肥料施用、肥料使用和侵蚀状况。采用层次回归、交互建模、方差划分和XGBoost与SHAP解释来评估加性、条件和非线性控制。最终的交互作用模型解释了75.9%的有机碳变异,优于气候模型、土壤+ N模型和管理模型。MAP是主要的气候预测因子,而MAT没有独立的主效应。Fe氧化物、Al氧化物、CEC和N与有机碳呈正相关,表明矿物稳定和碳氮耦合的重要性。MAP × Fe氧化物、MAT × pH、MAP ×作物残茬和MAP ×侵蚀之间存在显著的交互作用,表明土壤有机碳的响应取决于土壤和管理条件。XGBoost证实了SOC-N的强耦合,而不含N的敏感性模型保持了较强的预测性能(r2 = 0.78),并确定MAP、Al氧化物、Fe氧化物、pH和CEC是主要的预测因子。方差划分表明,气候域、地理域和管理域分别贡献了独特和共有的解释分量。总体而言,西非农业土壤的有机碳变化最好通过水分驱动的碳输入、矿物稳定、养分耦合和管理背景的相互作用过程来解释。
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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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